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Transcriptome Characterization by RNA-seq Unravels the Mechanisms of Butyrate-Induced Epigenomic Regulation in Bovine Cells

Overview of attention for article published in PLOS ONE, May 2012
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Title
Transcriptome Characterization by RNA-seq Unravels the Mechanisms of Butyrate-Induced Epigenomic Regulation in Bovine Cells
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036940
Pubmed ID
Authors

Sitao Wu, Robert W. Li, Weizhong Li, Cong-jun Li

Abstract

Short-chain fatty acids (SCFAs), especially butyrate, affect cell differentiation, proliferation, and motility. Butyrate also induces cell cycle arrest and apoptosis through its inhibition of histone deacetylases (HDACs). In addition, butyrate is a potent inducer of histone hyper-acetylation in cells. Therefore, this SCFA provides an excellent in vitro model for studying the epigenomic regulation of gene expression induced by histone acetylation. In this study, we analyzed the differential in vitro expression of genes induced by butyrate in bovine epithelial cells by using deep RNA-sequencing technology (RNA-seq). The number of sequences read, ranging from 57,303,693 to 78,933,744, were generated per sample. Approximately 11,408 genes were significantly impacted by butyrate, with a false discovery rate (FDR) <0.05. The predominant cellular processes affected by butyrate included cell morphological changes, cell cycle arrest, and apoptosis. Our results provided insight into the transcriptome alterations induced by butyrate, which will undoubtedly facilitate our understanding of the molecular mechanisms underlying butyrate-induced epigenomic regulation in bovine cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Italy 1 2%
Ireland 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Ph. D. Student 9 14%
Student > Master 7 11%
Professor 6 10%
Student > Bachelor 5 8%
Other 9 14%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 54%
Biochemistry, Genetics and Molecular Biology 8 13%
Medicine and Dentistry 2 3%
Nursing and Health Professions 1 2%
Unspecified 1 2%
Other 5 8%
Unknown 12 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2012.
All research outputs
#13,361,046
of 22,665,794 outputs
Outputs from PLOS ONE
#106,360
of 193,511 outputs
Outputs of similar age
#90,773
of 163,696 outputs
Outputs of similar age from PLOS ONE
#1,963
of 3,849 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 163,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,849 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.